The Amazon Selection and Catalog Systems team (ASCS) builds global selection and catalog management systems. The Selection Monitoring team is responsible for building the biggest product selection on the planet to satisfy our customers’ all shopping needs. We build platforms, systems and tools for the retail/3P business, create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale.


We are looking for engineers to tackle ambiguous problems in the areas of data processing, machine learning algorithms and distributed systems of cloud-scale. You are expected to take ownership, dive deep and drive solutions from developing prototypes, design to coding, testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams and business teams within Amazon and deliver solutions that will have an impact to both Amazon top-line & bottom line.

Key job responsibilities
- Partner with Principal Engineers, Sr. SDEs, and Product and Program Management to define and grow the technical and architectural vision for Selection Monitoring’s mission-critical systems driving the brand and product experience on Amazon.
- Deliver and own scalable, fault-tolerant, and highly available services that underpin our large-scale data processing solutions.
- Build and own systems for Data discovery and lifecycle management of hundreds of datasets spanning several Petabytes.
- Develop solutions to efficiently deploy and orchestrate hundreds of application flows across a hybrid set of compute environments.
- Utilize serverless and container technologies to build next-gen scalable compute layer solutions.


A day in the life
The SDE on this team will be playing a key role in solving complex problems and building innovative solutions to drive authoritative selection on Amazon platform.

About the team
The team is diverse and is highly cooperative. The team is well composed with 20% senior engineers, 60% seasoned engineers and 20% junior ones. There is enough opportunity to learn from experienced members and mentor inexperienced ones.